4 jobs found

For more information and to apply, go to: https://employment.ku.edu/postdoctoral-scholar/13181br
The Center for the Advancement of Research on Eating Behaviors (CARE) Laboratory has an opening for two Post-Doctoral Fellows with an anticipated start date in August 2019. Fellows will receive mentorship from Dr. Kelsie Forbush, with opportunities for co-mentorship from Dr. Sara Gould. These two-year positions will emphasize clinical research. Post-doctoral Fellows will have the opportunity to build a training experience that blends research and clinical experiences according to their career goals. Clinical opportunities include: providing on-campus and community-based outreach and training for eating disorders diagnosis and assessment; providing treatment using Guided Self-Help Cognitive-Behavior Therapy (CBT-gsh) as a part of an ongoing research study; conducting clinical assessments for a large longitudinal study of eating-disorder course and outcome; and building mentorship skills by co-supervising PhD student assessments, therapy, and clinical research projects. Beyond building contact hours for future licensure, there will be ample opportunities for independent and mentored research. The CARE Laboratory has several large existing datasets, including (but not limited to) a dataset of over 30,000 patients with eating disorders in collaboration with Recovery Record, Inc., as well as an ongoing study of over 250 community-recruited adults with eating disorders. Our Laboratory is also recruiting participants for two pilot brain-imaging studies of women with bulimia nervosa and adolescents with anorexia nervosa in collaboration with the University of Kansas’ Hoglund Brain Imaging Center. Finally, our center has close relationships with numerous local and national eating-disorder treatment centers, including Children’s Mercy – Kansas City and Eating Recovery Center, making this an ideal setting for fellows who wish to establish an independent clinical-research career. This is a limited term position for a period of two years. The successful candidate must have appropriate authorization to work in the U.S. before employment begins.

The FEEL Lab ( ​ https://go.unimelb.edu.au/j496 ​ ) is offering a 3-year PhD scholarship for a research project entitled ​ Emotion Dynamics and Well-Being ​ , funded by an Australian Research Council DECRA fellowship awarded to Dr Peter Koval.
Stipend: ​ 30,000 AUD per annum / Start date: ​ 1-June-2019 / Application deadline: 5-April-2019
SUMMARY: ​ This PhD project explores the link between patterns of moment-to-moment emotional fluctuations ( ​ emotion dynamics ​ ) and psychological well-being by applying cutting-edge statistical modeling to data on people’s daily emotional experiences, captured using smartphones.
BACKGROUND: ​ Emotions are fundamentally dynamical processes and recent research has shown that individual differences in emotion dynamics are associated with psychological well-being and functioning. However, it remains unclear which specific patterns of emotion dynamics are healthy versus unhealthy, and in which contexts. For instance, emotional flexibility and emotional stability have both been linked with better psychological functioning, yet they appear to be opposite patterns of emotion dynamics.
PROJECT DETAILS: ​ The successful PhD student will conduct research investigating the association between emotion dynamics and well-being using several existing large-scale ecological momentary assessment (EMA) studies on daily emotional functioning in diverse populations (e.g., university students, general community adults, employees in organizations, carers of young people with serious mental illness). In addition, the PhD student will contribute to the planning and collection of two new studies, combining EMA and lab methods, to further explore how patterns of emotion dynamics are related to well-being in various contexts. The project will apply advanced statistical techniques for the analysis of intensive longitudinal data (e.g., multilevel time series models). The PhD student is expected to develop a range of highly specialised substantive, methodological and statistical skills.
RESEARCH CONTEXT: This PhD student will be supervised by Dr Peter Koval and will work in the ​ FEEL Lab ​ , co-directed by Dr Katie Greenaway and Dr Peter Koval, comprising a large team of undergraduate and graduate students conducting research on various aspects of emotional functioning and emotion regulation. The FEEL Lab is embedded within the ​ Ethics and Wellbeing Hub ​ , a broader network of researchers across the University with interests in “the science of acting well and feeling well”, including several leading international scholars.
The Melbourne School of Psychological Sciences is a large, vibrant, research-focused school, comprising over 70 academic staff, 100 honorary staff and 150 PhD students. The research program within the Melbourne School of Psychological Science is broad, with particular strengths in social/personality and quantitative psychology. The University of Melbourne is Australia’s top-ranked university and is ranked 32nd in the world (Times Higher Education 2018 World Rankings).
APPLICANT: We are seeking an outstanding student with an interest in emotion and well-being and a demonstrated aptitude and enthusiasm for learning and applying advanced quantitative methods for the analysis of intensive longitudinal data (e.g., multilevel time series and structural equation models).
Essential selection criteria
Minimum 4-year undergraduate or graduate (masters) degree in psychology or a cognate discipline (e.g., economics, engineering, computer science, physics) with a substantial research component of at least 25% of one year full-time study
Achievement of a minimum weighted average grade of 80% (or equivalent) throughout previous undergraduate / graduate studies
High-level working proficiency in English, commensurate with the University’s Graduate English Language requirements (see ​ http://go.unimelb.edu.au/xxy6 ​ )
Demonstrated passion and curiosity for research, eagerness to learn, and willingness to explore advanced statistical methods for intensive longitudinal data (e.g., multilevel modeling)
High-level organizational and time-management skills, ability to meet tight deadlines
Collaborative, respectful and flexible approach to working in a research team
Commitment to become an active member of the FEEL Lab and willingness to participate in
regular lab meetings, research seminars, colloquia and workshops
Willingness to travel internationally for conferences and other research-related activities
Desirable selection criteria
Experience with EMA (aka ​ experience sampling ) ​ research, especially on emotion
Experience with multilevel or structural equation modeling and/or experience using Mplus
Experience in conducting longitudinal research and/or recruiting non-student samples
HOW TO APPLY: please send an email to ​feelresearchlab@gmail.com​ with the subject “DECRA PhD application”. Please include all of the following as a single PDF attachment:
Cover-letter (max. 1 page) addressing the selection criteria outlined above
Current CV (max. 1 page) outlining your educational background and details of any research publications (if relevant) as well as work experience relevant to the PhD project
Copies of all university academic transcripts including an explanation of your university’s grading scheme with equivalent numeric scores (e.g., A+ = 90%)
Names and contact details (email & phone) of two academic referees who can testify to your relevant skills and abilities
The deadline for applications is 5:00pm on Friday, 5 April (AEDT)

Northern Arizona University, Yuma Branch Campus is conducting a national search to fill a non-tenure track, academic year generalist position in Psychology at the rank of Lecturer. The primary focus of this position is teaching upper division psychology courses for the Bachelor of Science in Psychology program. A demonstrated connectedness to the discipline of psychology is expected. The position requires teaching, service, and professional development activities.
Minimum Qualifications : An earned master's degree in Psychology or closely related field from an accredited university and the equivalent of one year (2 semesters) of college-level teaching (at least 6 credit hours per semester) or other relevant professional experience.
Annual Salary: $50,000 - $56,000
Additional Information : Northern Arizona University-Yuma is a Branch Campus of NAU Flagstaff. NAU-Yuma has a primary role in providing a wide range of bachelor and graduate degrees in the Lower Colorado River region of Arizona and California. The Yuma Branch Campus has approximately 500 students on campus, while offering distance programs to an additional 1500 students off campus. The Yuma Branch Campus has been designated as a Hispanic Serving Institution.
Please see nau.jobs for full job descriptions and details on how to apply online! NAU is an Equal Opportunity/Affirmative Action Institution. Women, minorities, veterans and individuals with disabilities are encouraged to apply.

STANFORD UNIVERSITY
Human-Centered Artificial Intelligence Institute
Faculty Openings
The Human-Centered Artificial Intelligence (HAI) Initiative at Stanford University invites applications for fixed-term Assistant Professor (Research) faculty positions. These appointments are for a non-renewable term of five years, beginning in September 2019. Selected candidates will be appointed in an appropriate disciplinary department (e.g., Computer Science or Psychology), and will be Junior Fellows of the Stanford Institute for Human-Centered Artificial Intelligence, as appropriate.
We are seeking applicants from all areas of research related to artificial intelligence, spanning theoretical foundations, systems, software, applications, and social impact. We are particularly interested in applicants doing research at the frontiers of artificial intelligence with other disciplines, including but not limited to the humanities, business, education, law, medicine, and physical and social sciences.
Applicants must have completed (or be completing) a Ph.D., must have demonstrated the ability to pursue a program of research, and must have a strong commitment to teaching. A successful candidate will be expected to teach one course per year at the graduate and/or undergraduate levels.
Further information about the HAI Institute can be found at https://hai.stanford.edu .
Application Requirements:
All applications should include a curriculum vita, list of publications, and brief (3 page total) statements of research and teaching interests.
Applicants should submit the names and contact information of at least four references.
Please apply online at https://www.applyweb.com/cgi-bin/app?s=STANFAC . You will need to create a CollegeNet account if you do not already have one. Questions should be directed to, Search Committee Chair, c/o Ranjeshni Sharma, via electronic mail to hai-search@cs.stanford.edu
Applications will be accepted until March 30, 2019.
Stanford is an equal employment opportunity and affirmative action employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, protected veteran status, or any other characteristic protected by law. Stanford welcomes applications from all who would bring additional dimensions to the University's research, teaching and clinical missions.